… The package timereg provides tools for flexible regression … In our competing risks analysis
in Section 4.2, the variable … Therefore, we will exclude it from the competing risks analysis …

… in analyzing competing risk. The Kaplan-Meier (KM) method has become a widely used tool
… in the timereg and cmprsk packages in R 4.0.5 software. In this case, the researchers only …

… with the SDH ratio for competing risks data. The proposed sDiff … and can be considered in
real data analysis and trial design. … used measures in the present competing risks data analysis …

… the Bayesian analysis. The packages (timereg, cmprsk, mstate) in R software are used for
… The competing risks data are analyzed using overall hazard rate functions and conditional …

… be used in more complex settings: competing risks, time-varying exposure, and variable
selection. Our package … By contrast, both survival::coxph and timereg::comp.risk use arrays that …

… We compare our method with the Fine and Gray estimates from R package “timereg” in terms
of bias, RMSE, CI coverage and CI length. The Fine and Gray estimates are in red and our …

… function in timereg package For continuous time-varying effects: stcox with tvc() texp() …
Failure to account for the competing risks in the analysis would result in overestimation of the risk. …

… We also extend our comparative analysis to clustered competing risks data that are frequently
used in … Cox package and check its performance via simulations. For illustration, we …

… studies are used to illustrate competing risks data analysis although competing risks are not
… largely to the readily available statistical software packages, such as R, Stata, and SAS that …

… timecox in package timereg fits Cox models with possibly time-varying effects. A Cox model
… other extensions of existing packages useful for survival analysis and competing risks data. …